Ontology highlight
ABSTRACT: Background
The complexity and heterogeneity of the human plasma proteome have presented significant challenges in the identification of protein changes associated with tumor development. Refined genetically engineered mouse (GEM) models of human cancer have been shown to faithfully recapitulate the molecular, biological, and clinical features of human disease. Here, we sought to exploit the merits of a well-characterized GEM model of pancreatic cancer to determine whether proteomics technologies allow identification of protein changes associated with tumor development and whether such changes are relevant to human pancreatic cancer.Methods and findings
Plasma was sampled from mice at early and advanced stages of tumor development and from matched controls. Using a proteomic
SUBMITTER: Faca VM
PROVIDER: S-EPMC2504036 | biostudies-literature | 2008 Jun
REPOSITORIES: biostudies-literature